JOSS Papers: survival analysis

Published Papers

published Published 26 days ago

BayCauRETM: R package for Bayesian Causal Inference for Recurrent Event Outcomes

R Stan

10.21105/joss.09458

published Published 6 months ago

PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization

Python

10.21105/joss.08815

published Published 12 months ago

bbousuite: A set of R packages to facilitate analysis of boreal caribou survival and recruitment data

R

10.21105/joss.07997

published Published over 1 year ago

BART-Survival: A Bayesian machine learning approach to survival analyses in Python

Python Jupyter Notebook

10.21105/joss.07213

published Published over 1 year ago

TorchSurv: A Lightweight Package for Deep Survival Analysis

Python R

10.21105/joss.07341

published Published over 3 years ago

PyMSM: Python package for Competing Risks and Multi-State models for Survival Data

Python Jupyter Notebook

10.21105/joss.04566

published Published almost 5 years ago

SurPyval: Survival Analysis with Python

Python

10.21105/joss.03484

published Published over 5 years ago

StatAid: An R package with a graphical user interface for data analysis

R

@VincentAlcazer

10.21105/joss.02630

published Published over 5 years ago

NEEP: null empirically estimated p-values for high-throughput molecular survival analysis

C++ C

10.21105/joss.02044

published Published about 6 years ago

BayesMFSurv: An R Package to Estimate Bayesian Split-Population Survival Models With (and Without) Misclassified Failure Events

R C++

@Nicolas-Schmidt

10.21105/joss.02164

Displaying papers 1 - 10 of 14 in total

← PreviousNext →

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066